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Advanced 3 ducks forex pdf

Опубликовано в Mathematical model for forex | Октябрь 2, 2012

advanced 3 ducks forex pdf

Duck populations are considered to be a reservoir of HPAI virus (HPAIV) H5N1 back to moving duck flock owners and 3) rice paddy owners. I have also found this type of analysis valid for cash indexes, individual stocks, and the FOREX markets. On the daily euro chart (see Figure ), we ran the. FOREX TRADE PLAN Happy Pants, Ducks Trading can be summed up in one sentence: 3 TRADED PAIRS This section will list the pairs traded using the system. INVESTING BUCK-BOOST SWITCHING REGULATOR LAYOUT If needed, file is. If this will always whether it install and make sure possibility to a screw required Enterprise. Support is is made All settings: used to. Changing a of its we found run the run the windows to the ubuntu broad range.

Avian picornaviruses can cause infections ranging from subclinical infection to clinical signs of disease such as a drop-in egg production and decreased growth 21 , 22 , 23 , Little is known about the diversity, host spectrum, pathogenicity, seasonal variation and factors that affect co-circulation and co-infection of avian parvo- and picornaviruses circulating in wild ducks.

The current study was designed to detect and characterise avian viruses present in Australian wild ducks by analysing faecal samples collected at various time points from a single location. Specifically, we wanted to determine the virus diversity, its abundance and seasonal variation in wild Australian ducks. As parvoviruses and picornaviruses were the most abundant and most often detected viruses 25 , 26 , we will here focus only on the results for these viruses. From the initial data analysis, it became apparent that reads mapped to parvoviruses and picornaviruses were particularly abundant compared to other avian viruses in many of the samples included in the current study.

Therefore, we have here only focused on the results for the parvoviruses and picornaviruses. Avian parvoviruses and picornaviruses were present in samples from each of the species of ducks captured, and all but one pooled sample contained more than one parvovirus and picornavirus.

A total of complete or partial parvovirus sequences Supplementary Material 1 Parvovirus Row 1— and 26 complete or partial picornavirus sequences Supplementary Material 1 Picornavirus Row 1—26 were generated from the samples analysed. When these sequences were aligned against virus reference genomes Supplementary Material 2 , Figures S1 —S5 , the minimum number of individual viruses these sequences possibly represented in each sample were at least 15 parvoviruses and 5 picornaviruses in the Pacific black duck samples PBD In total, we detected and characterised sequences from at least 46 different duck parvoviruses and 11 different picornaviruses from the seven pools and three individual samples CT The minimum number of viruses and the percentage abundance of virus reads identified in these samples are given in Table 1.

The abundance and number of avian picornaviruses and parvoviruses varied considerably across the sampling time points. Parvoviruses were detected in ducks throughout the year. Picornaviruses, in contrast, were mainly found during late autumn to late winter months with 1—3 picornaviruses with an abundance of 0. The Wood duck sample from August WD The parvovirus sequences detected in the Australian ducks were diverse and belonged to three different genera of parvoviruses: Dependoparvovirus, Aveparvovirus and Chaphamaparvovirus.

Out of the assembled parvovirus consensus sequences from the duck samples, five near full-length parvovirus sequences were obtained. One of the Chestnut teal chaphamaparvovirus sequences was assembled from the pooled sample CT Three partial Aveparvovirus sequences were found in the August Pacific black duck pool. The remaining assembled parvovirus sequences from all the duck species belonged to at least 44 viruses within the genus Chaphamaparvovirus CPaV [Supplementary material 1 Parvovirus Row 1— ].

The generated parvovirus sequences, which included the complete non-structural protein NS1 of the Pacific black duck adeno-associated virus and the Pacific black duck aveparvovirus encoding partial NS1 were aligned with representative parvoviruses from each genus of the subfamily Parvovirinae Fig. The duck chaphamaparvovirus sequences encoding the complete NS1 protein were aligned with representative parvoviruses from each genus of the subfamily Hamaparvovirinae Fig.

Phylogenetic analysis of partial NS1 amino acid sequences of duck parvoviruses and representative viruses from subfamily Parvovirinae. Parvoviruses belonging to the genera Dependoparvirus and Aveparvovirus from the subfamily Parvovirinae were detected in the Australian ducks from the current study. The analysis involved 34 amino acid sequences. All positions containing gaps and missing data were eliminated. There was a total of amino acid positions in the final dataset.

The robustness of different nodes was assessed by bootstrap analysis using 1, replicates for amino acid alignments. The genera from subfamily Parvovirinae with viruses from the duck samples is shown in blue colour. Pacific black duck viruses are shown with black triangle. Phylogenetic analysis of non-structural amino acid sequence of duck chaphamaparvoviruses CPaV encoding complete NS1 protein and representative viruses from subfamily Hamaparvovirinae. Parvoviruses belonging to the genus Chaphamaparvovirus from the subfamily Hamaparvovirinae were detected in the Australian ducks from the current study.

The analysis involved 31 amino acid sequences. The genus from subfamily Hamaparvovirinae with viruses from the duck samples is shown in blue colour. Pacific black duck viruses are shown with black triangle and Chestnut teal viruses are with brown square. Although a brief account of this virus was published earlier 6 , here we provide a more detailed analysis of the full-length genome of the virus as more of the genome was obtained from the latest resequencing of the sample.

The phylogenetic analysis of the capsid protein encoded by the duck parvoviruses and picornaviruses was carried out and the genetic distance calculated to find the closest relative sequence Column J of Supplementary material 1. The phylogenetic analysis of the virus capsid protein agreed with their NS1 phylogenetic analysis data not shown. The phylogenetic analysis of the partial non-structural amino acid sequences showed that it was distantly related to KC The four near full-length chaphamaparvovirus sequences and one partial sequence which contained the full NS1 were more closely related to each other They, however, still belonged to an avian lineage within the chaphamaparvovirus genus Table 2 ; Fig.

Each of the duck sub-clusters included viruses from more than one host species indicating that these parvovirus lineages may either have evolved into individual strains or species that may have the ability to infect closely related duck species. The detection and characterisation of multiple chaphamaparvoviruses strains or species from individual samples also suggested co-infection, which is discussed below.

Phylogenetic analysis of the non-structural amino acid sequence of duck chaphamaparvoviruses CPaV encoding complete NS1 protein. The analysis involved 25 amino acid sequences. There were a total of positions in the final dataset.

Pacific black duck virus is shown with black triangle and Chestnut teal viruses are shown with brown square. Phylogenetic analysis and maximum likelihood trees of the amino acid sequences of the partial polyprotein PP from the 26 picornavirus consensus sequences identified viruses tentatively belonging to the genera Sicinivirus , Anativirus , Megrivirus and Aalivirus Fig.

Phylogenetic analysis of the partial RdRp region of the duck picornaviruses and of representative viruses from Picornaviridae family. The picornavirus sequences detected in the Australian ducks from the current study tentatively belong to four different genera: Sicinivirus , Anativirus , Megrivirus and Aalivirus. The analysis involved amino acid sequences. There were a total of amino acid positions in the final dataset. Each of the genus from Picornaviridae is shown with viruses from the duck samples in blue colour.

Pacific black duck viruses are shown in black triangle, Chestnut teal viruses in brown square and Wood duck viruses in green circle. Supergroup 5 consists of viruses from genus Crahelivirus, Fipivirus, Gruhelivirus, Hepatovirus, Rohelivirus and Tremovirus.

Supergroup 6 contains virus from the genus Harkavirus. Supergroup 7 consists of virus from the genus Ampivirus. This hypothesis was supported by the combined virus read abundances of the two non-structural sequences of the WDMeV 3. It was even less similar Both the polyprotein amino acid sequence phylogenetic analysis and individual BLAST of the sequences showed that our duck aaliviruses belong to the newly formed genus Aalivirus that at present has only one virus Phylogenetic analysis shows three new species in the genus Aalivirus.

The analysis involved 10 amino acid sequences. Pacific black duck viruses are shown in black triangle and Chestnut teal viruses in brown square. The Pacific black duck megrivirus was closely related to MK The Wood duck megriviruses were As stated above, two RdRp partial sequences that overlap one long capsid encoding partial WDMeV genome sequence were characterised. The phylogenetic analysis of the partial capsid protein coding region of the Wood duck megriviruses may indicate an evolutionary recombination event as discussed below Figure S15 in the Supplementary material 2.

Recently, the presence of an upstream protein-coding region uORF has been described and the expressed protein purified for some viruses belonging to the virus family Picornaviridae These uORF present in some of our sequences could potentially encode a protein of 65— amino acids which overlaps the much larger NS1 ORF of the chaphamaparvoviruses or polyprotein of the picornaviruses.

All the generated consensus sequences were also bioinformatically analysed further for the detection of possible motifs and nuclear translocation signals. The presence of these features at the expected location in the generated consensus sequences is an additional confirmation on the characterised viruses.

The current study detected and partially characterised several parvoviruses and picornaviruses from the wild duck samples. As explained above, more than one parvovirus was found to be present in any one duck sample for example, presence of at least 12 parvoviruses in CT Like for the parvoviruses, the results for picornaviruses detected in the current study also suggested co-circulation and most likely co-infection.

For example, in May , aaliviruses were found in both the Pacific black duck and Chestnut teal samples while in August , megriviruses were found in the Pacific black duck, Wood duck and Chestnut teal sample. This could suggest a seasonal co-circulation variation in the avian virome. The ecological and biological characteristics of birds enable them to play a major role in the emergence of new viruses and cross-species transmission They can disseminate pathogenic viruses, showing few or no signs of disease.

Ducks are found in nearly all aquatic habitats and can shed and spread viruses through both the respiratory and intestinal tracts 3. These facts accentuate the importance of the current study in conducting surveillance for potential virus threats to wildlife and humans from wild ducks.

Some of the viruses described here were found in high abundance in the sample suggesting active infection at the time of sampling. The duck parvoviruses and picornaviruses found varied not only in virus composition across species and time but also in their abundances, despite the ducks sharing the same habitat at the times of sampling. Duck parvoviruses were detected throughout the year, which could be because of the high virus stability exhibited by parvoviruses However, in the case of animal parvoviruses, very few studies have been conducted to determine their seasonal prevalence, especially from Australia 43 , The abundance of parvovirus was high in the juvenile Pacific black duck samples compared to their adult counterparts, which suggests that these duck chaphamaparvoviruses prefer juvenile hosts like any other parvovirus Duck picornaviruses were mainly found during late autumn to late winter months.

To the best of our knowledge, the current study is the first to analyse the seasonal abundance of both duck parvoviruses and picornaviruses, especially from Australia. The duck parvoviruses and the picornaviruses identified and characterised in this study showed relative similarity to other avian viruses from their respective genera.

The dependoparvovirus, anativirus-like virus, aalivirus and the megrivirus characterised from the Australian duck samples had the closest similarity to other duck viruses. The aveparvovirus, chaphamaparvovirus and sicinivirus-like virus from the Australian duck samples had the closest similarity to other avian viruses from chickens or pigeons.

Each of the sub-clusters included viruses from more than one duck species indicating that these parvovirus lineages may have evolved into individual strains or species that may have the ability to infect closely related duck species. It is also to be noted that the duck aveparvovirus and the duck sicinivirus-like virus from the current study are the first duck viruses identified in their respective genus. The duck parvoviruses, the Pacific black duck sicinivirus-like virus and the Pacific black duck anativirus-like virus described here, fulfil these criteria and can be considered as new or novel virus species based on the genome sequence analysis.

The detection of more than 30 new viruses, that are not previously described, belonging to two virus families from four duck species collected at three-time points indicates inadequate surveillance studies on wild ducks. Evidence of virus co-circulation has been found from the faecal samples collected from different duck species at the same time point and location.

For example, the presence of megriviruses and chaphamaparvoviruses in the faecal samples of Pacific black ducks, Wood ducks and Chestnut teals collected in August from the same location indicates virus co-circulation. In addition, the presence of aalivirus in both Pacific black ducks and Chestnut teals in May also indicates its co-circulation.

However, these viruses were different in nucleotide and amino acid level even within the species level. The simultaneous detection of related viruses in the individual sample indicates co-infection, which may lead to recombination. This could be because of possible virus recombination 45 , 46 occurring in avian host species during co-infections or due to the occurrence of gradual mutation during replication.

However, further studies are required to understand the evolution of these viruses and how that may enable cross-species infection. The NGS data with a high number of virus reads for some of the duck samples imply the presence of an active infection and suggest a potential health impact on the birds.

It should be noted that at the collection time point no close physical examination, such as the presence of any histopathological lesions, was conducted to detect any clinical signs of disease. The high viral load detected in some of the bird samples, with the caveat that all faecal samples were subjected to virus enrichment and nucleic acid amplification, suggests substantial use of infected host cell machinery by the virus for its multiplication and expression, and consequently the presence of an active infection and potential adverse effects on cells and host.

For example, with respect to chaphamaparvoviruses, the identification of mouse kidney parvovirus from mice with inclusion body nephropathy 47 , the identification of cachavirus from dogs with diarrahea 48 and the isolation of various chaphamaparvoviruses from different host faecal samples 23 , 49 suggesting possible infection in the gastrointestinal area, does imply that these viruses could be pathogenic and may cause diseases in their host species.

The high abundance of chaphamaparvoviruses in the juvenile Pacific black duck sample PBD Another example is the Megrivirus can cause hepatitis and enteritis in turkeys These symptoms in ducks, if caused by the virus, cannot be determined without close pathological examination.

It has been previously shown that during autumn—winter seasons, due to limited pasture availability and low temperature, there is a possibility of body fat loss in birds 50 , which in turn may lead to reduced immunity 50 , This could be a factor that may account for susceptibility to virus infections.

The abundance of the virus particles in these samples without the indication of any visible clinical signs of disease, as noted during collection time point, could also indicate the evolution of a host—pathogen relationship in these birds enabling co-infections.

Despite the detection and characterisation of 46 parvoviruses and 11 picornaviruses from these samples, there is a high possibility of the presence of many more parvoviruses and picornaviruses due to the detection of partial genome sequences. However, as shown in Figures S1 —S5 of the Supplementary Material 2 , we can determine the minimum number of chaphamaparvoviruses and picornaviruses infecting the ducks, as the sequences that are being compared are most definitely not identical to each other both at the nucleotide and amino acid level.

Also, we cannot completely exclude the minor probability of some of these viruses being from the diet of the bird and not truly from the duck host. It should be noted that using this method, we can detect and characterise other non-avian viruses from the samples as described earlier 6. Nevertheless, all the virus sequences described here are distantly related and do cluster together along with other avian viruses.

Detection of these viruses from different duck samples or culturing and inoculation studies with the viruses could potentially better establish the identity of their hosts. We found an upstream ORF in some of the picornaviruses and chaphamaparvoviruses in silico; however, at this point, the expression of this ORF is uncertain. The uORF could regulate the translation of the primary ORF and was detected in several viruses such as enteroviruses 38 and human cytomegalovirus 52 and shown in silico to be present in some chaphamaparvoviruses It is previously shown that in enteroviruses, the uORF encode a virus protein that facilitates virus growth in gut epithelial cells, which is the site of initial viral invasion into susceptible hosts However, further isolation and purification of the uORF protein only could lead to the concrete conclusion on the expression and function of this short peptide in the duck viruses.

The presence of other sequence features like the helicase, RdRp, Peptidase C3 and capsid protein domain detected in silico indicate that the virus sequences described here are likely from functional avian viruses. Other virus motifs such as bipartite nuclear localisation signal 53 , 54 were also detected in some of the parvoviruses and picornaviruses, although, the detailed analysis on the functions of these motifs and domains exceeds the scope of this paper.

It is to be noted that the phospholipase A2 domain was not found in any of the parvoviruses detected from the duck sample, which is consistent with other avian parvoviruses 16 and avian chaphamaparvovirus Finally, as stated above, the avian parvo- and picornaviruses detected and characterised from the bird samples form only a fraction of the total avian virome of these duck species. The identification of 46 different avian parvoviruses and 11 different avian picornaviruses that are distantly related to other currently known viruses from the NCBI dataset indicate the poor understanding of the avian virome and emphasise the need for further elucidation.

Further analysis of the NGS reads generated from the wild duck samples is underway to determine the avian virus community of these birds and to determine the factors that influence their ecology. Fresh wild duck faecal samples were collected from Wallington, south-eastern Victoria, Australia. No wild Pacific black ducks were captured during November and consequently, we included pooled juvenile Pacific black duck samples that had been collected in December pool PBD Grey teals were able to be captured and sampled in November GT Wood ducks were only captured and sampled in August WD The current study involving these samples were performed in accordance with relevant guidelines and regulations.

Samples of 3—6 individual ducks were pooled by species and collection date , except for the Chestnut teal November sample where only a single bird was captured at the time of sample collection. Enriching for virus particles followed by nucleic acid extraction was carried out as per a previously optimised protocol in our laboratory 6. Briefly, the faecal samples were subjected to homogenisation, centrifugation and filtration using a 0. The sample was then divided into two aliquots.

Aliquot A was ultracentrifuged, while aliquot B did not undergo ultracentrifugation. Libraries were quantified and then pooled prior to loading onto Ion or Chips using the Ion Chef Instrument. Two individual Chestnut teal samples CT NGS data analyses were carried out as described earlier 6 , 55 , BLAST query results files were converted into spreadsheet files, sorted by virus matches, and a list of potential virus targets created for each sample.

The list was then manually inspected to identify viruses of interest. It became apparent that parvoviruses and picornaviruses reads were particularly abundant in many of the samples, and therefore we focused further analyses on these virus families. AssemblerSPAdes 5. Picornavirus and parvovirus contigs of length greater than nucleotides were then used as references in TMAP plugin and trimmed to regions with a mapping quality of 20 or higher and a coverage depth of at least 2 unless specified.

Nearly complete sequences for some viruses were also generated by assembling overlapping sequences and by using MEGA7 and magicblast 57 from contigs and consensus sequences generated from different NGS runs. These sequences were again subjected to TMAP and consensus sequences generated from mapped sequences using IGV to determine the depth of coverage.

The use of the non-ultracentrifuged samples acted as a control to differentiate endogenous sequences compared to sequences coming from exogenous virion. The sequences more abundant in the ultracentrifuged samples and those which did not provide any evidence of host genome sequences attached were considered likely to be from virus genomes.

The presence of these features in the expected location in the virus sequences was used as an additional confirmation that reliable consensus sequences had been generated from the reads. Other datasets generated or analysed during the current study are available from the corresponding author on reasonable request. Lycett, S. A brief history of bird flu. B Biol. Google Scholar. Li, W. Bats are natural reservoirs of SARS-like coronaviruses.

Science 80— , — Kim, J. Influenza Other Respir. Viruses 3 , — Bhatta, T. Detection of a reassortant H9N2 Avian influenza virus with intercontinental gene segments in a resident Australian chestnut teal. Viruses 12 , 88 Chamings, A. Detection and characterisation of coronaviruses in migratory and non-migratory Australian wild birds. Vibin, J. Metagenomics detection and characterisation of viruses in faecal samples from Australian wild birds. Chu, D. Chahar, H.

Co-infections with chikungunya virus and dengue virus in Delhi, India. Crotty, M. Epidemiology, co-infections, and outcomes of viral pneumonia in adults. Medicine Baltimore 94 , e Vijaykrishna, D. RNA virus reassortment: An evolutionary mechanism for host jumps and immune evasion. PLoS Pathog. Shen, H. Identification of recombination between Muscovy duck parvovirus and goose parvovirus structural protein genes.

Martin, D. Recombination in eukaryotic single stranded DNA viruses. Johnson, E. Significance of interviral recombination as novel mechanism for extending viral disease repertoire. Brain Disord. ADS Google Scholar. Wille, M. Serologic evidence of exposure to highly pathogenic avian influenza H5 viruses in migratory shorebirds, Australia.

Lisovski, S. The roles of migratory and resident birds in local avian influenza infection dynamics. Kapgate, S. Avian parvovirus: Classification, phylogeny, pathogenesis and diagnosis. Avian Pathol. Hueffer, K. The second thing we need to do is drop down to our 1hr chart. We need to see the current price above the 60 sma on this chart also, this gives us confirmation.

Important: If the current price was to be below the 60 sma on this chart we could not move on to step 3. From step 1 and 2, current prices need to be above their 60 sma's on each chart. We are now on the 5 min chart and we are looking to buy when price crosses above the 60 sma. For extra confirmation we should let prices break the last high on the 5 min chart.

This would mean that prices will be above their 60 sma on all 3 time-frames, therefore all 3 Ducks are lined up in the same direction. Stop-Losses : This is where you can make this system your own. If you are a short term trader you may want to put your stop-loss below the lows on the 5 min or the 1 hr chart.

If you are more of a positional trader you may wish to put your stop-loss above a low on the 4 hr chart. You could also use a fixed stop-loss, maybe pips or more from entry. It all depends what type of a trader you are, so you decide! If you are a longer term trader or investor, this system can help you get a good entry point into the market.

Another "trick" that may help you preserve capital, if you do buy and prices get back below the 5 min 60 sma by 10 pips not a good sign you may want to cut your losses short before your stop-loss. But if you are a longer term trader this may not be a big deal for you. Targets : Same again, depends what type of a trader you are but target can be support or resistance levels. I like this system a lot as it does not try to out-guess the markets movements and pick tops and bottoms.

The system will quickly tell you to be a buyer or a seller. The best time I found for trading this system is the European and US sessions.

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Stop-Losses : This is where you can make this system your own. If you are a short term trader you may want to put your stop-loss below the lows on the 5 min or the 1 hr chart. If you are more of a positional trader you may wish to put your stop-loss above a low on the 4 hr chart. You could also use a fixed stop-loss, maybe pips or more from entry.

It all depends what type of a trader you are, so you decide! If you are a longer term trader or investor, this system can help you get a good entry point into the market. Another "trick" that may help you preserve capital, if you do buy and prices get back below the 5 min 60 sma by 10 pips not a good sign you may want to cut your losses short before your stop-loss. But if you are a longer term trader this may not be a big deal for you.

Targets : Same again, depends what type of a trader you are but target can be support or resistance levels. I like this system a lot as it does not try to out-guess the markets movements and pick tops and bottoms. The system will quickly tell you to be a buyer or a seller.

The best time I found for trading this system is the European and US sessions. I like to use this system as a guide in addition to my own market knowledge. Take care to watch what is going on around you - economic new releases, holidays etc. Good Luck with the 3 Duck's Trading System. To get your free copy of the ebook, Email: captaincurrency eircom. Share your opinion, can help everyone to understand the forex strategy.

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Advanced 3 ducks forex pdf forex trading real time news

3 ducks simple forex strategy

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Forex for beginners. Forex for Beginners. LearnToTrade training videos education forex foreign exchange. Kutools forEx cel Forex Strategies. Important: If the current price was to be below the 60 sma on this chart we could not move on to step 3. From step 1 and 2, current prices need to be above their 60 sma's on each chart.

We are now on the 5 min chart and we are looking to buy when price crosses above the 60 sma. For extra confirmation we should let prices break the last high on the 5 min chart. This would mean that prices will be above their 60 sma on all 3 time-frames, therefore all 3 Ducks are lined up in the same direction. Stop-Losses : This is where you can make this system your own. If you are a short term trader you may want to put your stop-loss below the lows on the 5 min or the 1 hr chart.

If you are more of a positional trader you may wish to put your stop-loss above a low on the 4 hr chart. You could also use a fixed stop-loss, maybe pips or more from entry. It all depends what type of a trader you are, so you decide!

If you are a longer term trader or investor, this system can help you get a good entry point into the market. Another "trick" that may help you preserve capital, if you do buy and prices get back below the 5 min 60 sma by 10 pips not a good sign you may want to cut your losses short before your stop-loss.

But if you are a longer term trader this may not be a big deal for you. Targets : Same again, depends what type of a trader you are but target can be support or resistance levels. I like this system a lot as it does not try to out-guess the markets movements and pick tops and bottoms. The system will quickly tell you to be a buyer or a seller. The best time I found for trading this system is the European and US sessions.

I like to use this system as a guide in addition to my own market knowledge. Take care to watch what is going on around you - economic new releases, holidays etc.

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Forex 3 Ducks Strategy

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